Instructions to use hf-internal-testing/tiny-random-yolos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-yolos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-yolos")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-yolos") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-yolos") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1344514b646242c415683bf57405bd47a566e433c1066ddcd954840d797cce8a
- Size of remote file:
- 763 kB
- SHA256:
- c1ae15786d5de5d14f70f770b0c96ac6345d3da52d1b57b78c23fba82ffbd70f
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